\begin{table}[H]
\centering
\scriptsize
\caption{Summary statistics and balance\label{tab:Descriptives}}
\begin{tabular}{l*{6}{c}}
\toprule
& Sample  & Control             & \multicolumn{2}{c}{Diff wrt. Control} & \multicolumn{1}{c}{Wald test} & Sample \\
\textbf{Variable}   & Average & (av. \& s.e.) & T1  & T2 & T1=T2 & Size \\
\midrule
\parbox[l]{4.3cm}{ Gender (Female==1)} &   0.546 &   0.499 &   0.059* &   0.072** &   0.645 &    1668\\
& [  0.498] & (  0.023) & (  0.031) & (  0.031) & & \\
\parbox[l]{4.3cm}{ Age} &  42.761 &  36.375 &   5.120*** &  12.608*** &   0.000 &    1668\\
& [ 17.050] & (  0.713) & (  0.991) & (  0.978) & & \\
\parbox[l]{4.3cm}{ High school} &   0.801 &   0.799 &   0.001 &   0.006 &   0.830 &    1668\\
& [  0.399] & (  0.018) & (  0.025) & (  0.024) & & \\
\parbox[l]{4.3cm}{ College} &   0.354 &   0.344 &   0.022 &   0.007 &   0.589 &    1668\\
& [  0.478] & (  0.022) & (  0.030) & (  0.029) & & \\
\parbox[l]{4.3cm}{ Employed} &   0.491 &   0.495 &  -0.014 &   0.004 &   0.533 &    1668\\
& [  0.500] & (  0.023) & (  0.031) & (  0.031) & & \\
\parbox[l]{4.3cm}{ Unemployed} &   0.215 &   0.249 &  -0.021 &  -0.073*** &   0.025 &    1668\\
& [  0.411] & (  0.020) & (  0.026) & (  0.025) & & \\
\parbox[l]{4.3cm}{ Socio-economic level (high)} &   0.178 &   0.157 &   0.035 &   0.024 &   0.621 &    1668\\
& [  0.383] & (  0.017) & (  0.023) & (  0.023) & & \\
\parbox[l]{4.3cm}{ Credit Card} &   0.537 &   0.486 &   0.045 &   0.096*** &   0.080 &    1668\\
& [  0.499] & (  0.023) & (  0.031) & (  0.030) & & \\
\parbox[l]{4.3cm}{ Internet at home} &   0.885 &   0.878 &   0.003 &   0.015 &   0.533 &    1668\\
& [  0.319] & (  0.015) & (  0.020) & (  0.020) & & \\
\parbox[l]{4.3cm}{ Voluntary Health Insurance} &   0.391 &   0.361 &   0.048 &   0.039 &   0.764 &    1668\\
& [  0.488] & (  0.022) & (  0.030) & (  0.030) & & \\
\parbox[l]{4.3cm}{ One or more cars} &   0.351 &   0.344 &   0.010 &   0.010 &   0.992 &    1668\\
& [  0.477] & (  0.022) & (  0.029) & (  0.029) & & \\
\parbox[l]{4.3cm}{ Perc. Quality of Governm.} &   6.930 &   6.708 &   0.280** &   0.340** &   0.658 &    1648\\
& [  2.322] & (  0.105) & (  0.141) & (  0.144) & & \\
\parbox[l]{4.3cm}{ Knows neither} &   0.359 &   0.405 &  -0.036 &  -0.090*** &   0.047 &    1668\\
& [  0.480] & (  0.023) & (  0.030) & (  0.029) & & \\
\parbox[l]{4.3cm}{ Has heard of BAE or its web} &   0.243 &   0.237 &   0.015 &   0.002 &   0.585 &    1668\\
& [  0.429] & (  0.020) & (  0.027) & (  0.026) & & \\
\parbox[l]{4.3cm}{ Knows BAE or its web} &   0.285 &   0.264 &   0.024 &   0.034 &   0.718 &    1668\\
& [  0.451] & (  0.020) & (  0.028) & (  0.027) & & \\
\parbox[l]{4.3cm}{ Knows BAE and its web} &   0.113 &   0.094 &  -0.003 &   0.055*** &   0.002 &    1668\\
& [  0.317] & (  0.013) & (  0.018) & (  0.020) & & \\
\parbox[l]{4.3cm}{ Trust Others} &   0.590 &   0.592 &  -0.009 &   0.002 &   0.714 &    1562\\
& [  0.492] & (  0.024) & (  0.032) & (  0.031) & & \\
\parbox[l]{4.3cm}{ Collective Action} &   0.780 &   0.798 &  -0.016 &  -0.033 &   0.480 &    1629\\
& [  0.414] & (  0.019) & (  0.025) & (  0.026) & & \\
\parbox[l]{4.3cm}{ Importance of part. in dec. making} &   0.912 &   0.916 &  -0.007 &  -0.003 &   0.821 &    1668\\
& [  0.283] & (  0.013) & (  0.017) & (  0.017) & & \\
\parbox[l]{4.3cm}{ Prefers to increase reg. burden} &   0.154 &   0.174 &  -0.021 &  -0.034 &   0.529 &    1597\\
& [  0.361] & (  0.018) & (  0.024) & (  0.023) & & \\
\parbox[l]{4.3cm}{ Survey duration (mins)} &  12.161 &  13.558 &  -2.424 &  -1.557 &   0.072 &    1289\\
& [ 24.617] & (  2.239) & (  2.258) & (  2.272) & & \\
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\bottomrule
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\multicolumn{7}{c}{\footnotesize{\begin{minipage}{0.95\textwidth}\textit{Notes:} Each row shows statistics for a different observable variable we have. Column [1] shows the sample average and the standard deviation in parenthesis for the control group -in this case, individuals in T0. Columns [2]-[3] show the regression coefficient and the standard error in parentheses corresponding to OLS regressions -observable is the dependent variable and the treatment variables are the independent ones (T1-T2). Column [4] shows the p-value of a Wald test of equality of coefficients. Column [5] shows the sample size for each regression. \textit{Gender} is a binary variable that takes the value of one when the respondent is a woman. \textit{Age} is a continuous variable from 18 to 100 years. \textit{College} takes the value of one when the individual has at least college, and \textit{High school} is read in the same way. \textit{Employed} and \textit{Unemployed} are binary variables for those who have full-time employment or work in their house and those who are looking for a job at the time of the survey, respectively. \textit{Socio-economic level (High)} is a binary variable for those with the highest category in socio-economic level. \textit{Perceived Quality of Governm.} is self-explanatory and takes values between 1 and 10, in which the lowest value reflects a very bad score while the greatest an excellent score. \textit{First exposure to } is a binary variable and takes the value one if the participant has not ever listened about the  policy. \textit{Trust Others} is a binary variable that takes the value of one when participants indicate that others are reliable or very reliable. \textit{Collective Action} is a dummy variable that indicates whether participants answer \textsc{Very likely or likely} or not to the following question \textit{Suppose there is a problem in your neighborhood for which you would like to find a solution and you decide to petition the city government. How likely do you think it is that the neighborhood where you live will be able to collect 500 signatures that support said petition?} Standard errors are robust.  *** p\textless 0.01, ** p\textless 0.05, * p\textless 0.1.\end{minipage}}}
\end{tabular}
\end{table}
